Semi‐ and unsupervised learning constitute two pivotal paradigms for extracting structure and meaning from data when explicit labels are sparse or entirely absent. In semi‐supervised learning, a small ...

SYDNEY — Artificial intelligence has made headlines for writing essays, generating art, and even passing medical exams. However, most AI systems today still require extensive human guidance to ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...